{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:BT6TAREJCCXEAJG5WWXYMFGNOS","short_pith_number":"pith:BT6TAREJ","schema_version":"1.0","canonical_sha256":"0cfd30448910ae4024ddb5af8614cd74a08341c25e7fe9fada13affc1ea2cd06","source":{"kind":"arxiv","id":"2601.02085","version":3},"attestation_state":"computed","paper":{"title":"Vision-Based Early Fault Diagnosis and Self-Recovery for Strawberry Harvesting Robots","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.RO","authors_text":"Chunjiang Zhao, Hao Liu, Lichao Yang, Meili Sun, Shimin Hu, Ya Xiong","submitted_at":"2026-01-05T13:12:42Z","abstract_excerpt":"Strawberry-harvesting robots faced challenges such as poor visual perception, gripper misalignment, empty grasp/misgrasp, and slippage, which reduced harvesting stability and efficiency.To overcome these issues, this paper proposes a visual fault diagnosis and self-recovery framework. An end-to-end SRR-Net achieved unified perception and fault diagnosis through joint detection, segmentation, and ripeness regression of the fruit and gripper. Leveraging this integrated perception, a relative error compensation method driven by simultaneous target-gripper detection was designed to correct positio"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2601.02085","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2026-01-05T13:12:42Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"94385e41a4f1de9911458e5db90f0b9e543444afe378cd8c532f0d06d3a77ec6","abstract_canon_sha256":"f9ce445c4f497768296313a615d905d9bef61dd861ec31782ebe1f6a61ef54dc"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-09T02:07:16.371466Z","signature_b64":"ZleJQv5m99+x1hv58LlcgvhmnMzG3KA3wZ/662m0twTHIb+wZlkUASZBn0ugHr9E7tJpsQQ7Apo1Is/4/cEADQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0cfd30448910ae4024ddb5af8614cd74a08341c25e7fe9fada13affc1ea2cd06","last_reissued_at":"2026-06-09T02:07:16.370395Z","signature_status":"signed_v1","first_computed_at":"2026-06-09T02:07:16.370395Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Vision-Based Early Fault Diagnosis and Self-Recovery for Strawberry Harvesting Robots","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.RO","authors_text":"Chunjiang Zhao, Hao Liu, Lichao Yang, Meili Sun, Shimin Hu, Ya Xiong","submitted_at":"2026-01-05T13:12:42Z","abstract_excerpt":"Strawberry-harvesting robots faced challenges such as poor visual perception, gripper misalignment, empty grasp/misgrasp, and slippage, which reduced harvesting stability and efficiency.To overcome these issues, this paper proposes a visual fault diagnosis and self-recovery framework. An end-to-end SRR-Net achieved unified perception and fault diagnosis through joint detection, segmentation, and ripeness regression of the fruit and gripper. Leveraging this integrated perception, a relative error compensation method driven by simultaneous target-gripper detection was designed to correct positio"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2601.02085","kind":"arxiv","version":3},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2601.02085/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2601.02085","created_at":"2026-06-09T02:07:16.370539+00:00"},{"alias_kind":"arxiv_version","alias_value":"2601.02085v3","created_at":"2026-06-09T02:07:16.370539+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2601.02085","created_at":"2026-06-09T02:07:16.370539+00:00"},{"alias_kind":"pith_short_12","alias_value":"BT6TAREJCCXE","created_at":"2026-06-09T02:07:16.370539+00:00"},{"alias_kind":"pith_short_16","alias_value":"BT6TAREJCCXEAJG5","created_at":"2026-06-09T02:07:16.370539+00:00"},{"alias_kind":"pith_short_8","alias_value":"BT6TAREJ","created_at":"2026-06-09T02:07:16.370539+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/BT6TAREJCCXEAJG5WWXYMFGNOS","json":"https://pith.science/pith/BT6TAREJCCXEAJG5WWXYMFGNOS.json","graph_json":"https://pith.science/api/pith-number/BT6TAREJCCXEAJG5WWXYMFGNOS/graph.json","events_json":"https://pith.science/api/pith-number/BT6TAREJCCXEAJG5WWXYMFGNOS/events.json","paper":"https://pith.science/paper/BT6TAREJ"},"agent_actions":{"view_html":"https://pith.science/pith/BT6TAREJCCXEAJG5WWXYMFGNOS","download_json":"https://pith.science/pith/BT6TAREJCCXEAJG5WWXYMFGNOS.json","view_paper":"https://pith.science/paper/BT6TAREJ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2601.02085&json=true","fetch_graph":"https://pith.science/api/pith-number/BT6TAREJCCXEAJG5WWXYMFGNOS/graph.json","fetch_events":"https://pith.science/api/pith-number/BT6TAREJCCXEAJG5WWXYMFGNOS/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/BT6TAREJCCXEAJG5WWXYMFGNOS/action/timestamp_anchor","attest_storage":"https://pith.science/pith/BT6TAREJCCXEAJG5WWXYMFGNOS/action/storage_attestation","attest_author":"https://pith.science/pith/BT6TAREJCCXEAJG5WWXYMFGNOS/action/author_attestation","sign_citation":"https://pith.science/pith/BT6TAREJCCXEAJG5WWXYMFGNOS/action/citation_signature","submit_replication":"https://pith.science/pith/BT6TAREJCCXEAJG5WWXYMFGNOS/action/replication_record"}},"created_at":"2026-06-09T02:07:16.370539+00:00","updated_at":"2026-06-09T02:07:16.370539+00:00"}